- Work Model: WFO

Overall experience:

- 15+ Years Strong relevant experience in Master Data Management (MDM), Data Governance, Data Quality and Master Data operating models.
- Experience in solution architecture, offering development and enterprise transformation.
- Experience in developing AI-enabled operating models and next-generation service offerings.

Candidate Location:

- Any wherein India, Open to relocate to Bangalore

Skills Mandatory:

- Strong expertise in Master Data Management, Data Governance and Data Quality.
- Understanding of modern data architectures and MDM platforms.
- Knowledge of Applied AI, Generative AI, Agentic AI, Machine Learning and Data Science.
- Experience in solution architecture, transformation and offering development.
- Strong commercial understanding of managed services and outcome-based models.
- Ability to translate emerging technologies into practical business solutions.
- Diversity: Any diversity Education and Certification Qualification: Any graduate

Job Description:

- We are looking for a strategic and technology-oriented leader to reimagine and scale the Master Data Management practice in an AI-first environment.
- The role will be responsible for developing next-generation Master Data offerings, AI-enabled operating models and innovative commercial constructs while building the capabilities, solutions and reusable assets required to deliver them at scale.
- This is ahigh-impact middle-management leadership role with a strong focus on driving business differentiation, growth and profitability.

Key Responsibilities:

- Portfolio Transformation: Transform traditional Master Data Management offerings into AI-first, intelligent and increasingly autonomous solutions.




- Develop next-generation MDM service offerings aligned with evolving business and technology requirements.
- Next-Generation Operating Models: Integrate AI, Generative AI, intelligent agents, automation, data platforms and human expertise.
- Redesign traditional Master Data operations through intelligent and technology-driven operating models.
- Commercial Model Innovation: Develop innovative commercial constructs, including consumption-based, platform-based, gainshare and outcome-based models.
- Establish commercial models that directly link business value delivered to commercial outcomes.
- Capability and Solution Development: Build reusable Intellectual Property (IP), accelerators, solution architectures and implementation playbooks.
- Develop delivery capabilities to industrialize and scale next-generation MDM offerings.
- Business Growth and Strategic Pursuits: Collaborate with Sales, Consulting and Delivery teams to drive strategic business pursuits.
- Develop compelling client propositions and convert innovation into business pipeline, revenue and margin growth.
- Technology Ecosystem Development: Leverage relevant MDM, Cloud, Data and AI technology ecosystems.
- Build differentiated solutions by integrating emerging technologies and platforms.
- Transformation and Industrialization:Drive initiatives from conceptualization through implementation and industrialization.




- Build scalable capabilities and transformation-led solutions to strengthen the overall Master Data practice.

Mandatory Key Skills:

- Master Data Management (MDM).
- Data Governance and Data Quality.
- Master Data Operating Models.
- Contemporary Data Architectures and MDM Platforms.
- Applied AI and Generative AI.
- Agentic AI, Machine Learning and Data Science.
- Solution Architecture and Offering Development.
- Enterprise Transformation.
- Managed Services Economics.
- Outcome-Based Commercial Models.
- Strategic Business Development and Solutioning.
- Cross-functional Stakeholder Management across Sales, Consulting, Technology and Delivery.

Good to Have Skills:

- Development of reusable Intellectual Property (IP) and accelerators.
- AI-led automation and intelligent operating models.
- Platform-based and consumption-based commercial models.
- Gainshare and value-based commercial constructs.
- Cloud and Data Technology Ecosystems.
- Experience in scaling and industrializing new service offerings.
- Strong business growth, profitability and market differentiation orientation.

Other Specific Remarks Additional Requirements:

- The role requires a strong builder and transformation-oriented mindset.
- The candidate should be comfortable taking innovative ideas from conceptualization through industrialization and large-scale implementation.
- Should be capable of working across Technology, Operations, Consulting, Sales and Delivery functions.
- Robust commercial acumen with an understanding of revenue growth, profitability and managed-services economics.
- Should demonstrate the ability to build differentiated capabilities and influence the future direction of the Master Data practice.

📌 Senior Manager - AI - MDM (Bengaluru)
🏢 Golden Opportunities
📍 Bengaluru